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This chapter examines two aspects of considerable importance for the structural health monitoring (SHM) process: (i) signal processing and (ii) damage identification/pattern recognition algorithms. The SHM community is constantly exposed to various aspects of signal processing, spectra collection, data processing and analysis, pattern recognition, and decision-making. This chapter reviews some of these aspects. Both the state-of-the-art and general principles, on one hand, and specific examples, on the other hand, are presented. However, an exhaustive presentation of these vast topics is not attempted, since it would be beyond the scope ...

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